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Commit98bf5e0

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‎.Rbuildignore‎

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^.*\.Rproj$
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^\.Rproj\.user$
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^LICENSE\.md$
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^data-raw$

‎.gitignore‎

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.Rproj.user
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.Rhistory
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.RData
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.Ruserdata

‎DESCRIPTION‎

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Package: vacuum
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Type: Package
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Title: Tukey's Vacuum Cleaner
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Version: 0.1.0
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Author: Ron Sielinski
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Maintainer: Ron Sielinski <sielinski@hotmail.com>
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Description: An implementation of John Tukey's FUNOP, FUNOR-FUNOM, and vacuum
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cleaner from his paper "The Future of Data Analytics". Combined, these
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procedures provide a way to identify, treats, and analyze outliers.
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License: MIT + file LICENSE
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Encoding: UTF-8
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LazyData: true
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Suggests:
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testthat
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Imports:
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ggplot2,
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tidyr,
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dplyr
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Depends:
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R (>= 2.10)

‎LICENSE‎

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YEAR: 2020
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COPYRIGHT HOLDER: Ron Sielinski

‎LICENSE.md‎

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#MIT License
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Copyright (c) 2020 Ron Sielinski
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎NAMESPACE‎

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exportPattern("^[[:alpha:]]+")

‎R/hello.R‎

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# Hello, world!
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#
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# This is an example function named 'hello'
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# which prints 'Hello, world!'.
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#
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# You can learn more about package authoring with RStudio at:
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#
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# http://r-pkgs.had.co.nz/
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#
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# Some useful keyboard shortcuts for package authoring:
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#
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# Install Package: 'Ctrl + Shift + B'
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# Check Package: 'Ctrl + Shift + E'
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# Test Package: 'Ctrl + Shift + T'
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hello<-function() {
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print("Hello, world!")
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}

‎README.md‎

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#vacuum
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<!-- badges: start-->
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<!-- badges: end-->
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Vacuum is an implementation of three procedures developed by John Tukey, FUNOP, FUNOR-FUNOM, and vacuum cleaner, originally published in his paper "The Future of Data Analytics". Combined, the procedures provide a complete solution to identify, treat, and analyze outliers.
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##Installation
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You can install the released version of vacuum from[CRAN](https://CRAN.R-project.org) with:
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```r
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install.packages("vacuum")
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```
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##Example
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FUNOP identifies outliers in a numeric vector:
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```r
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library(vacuum)
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# example data
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as_received<-
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c(14,-104,-97,-59,-161,93,454,-341,54,137,473,45,193,22)
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# index positions of outliers
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FUNOP(as_received)
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# values of outliers
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as_received[FUNOP(as_received)]
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```
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‎data-raw/DATASET.R‎

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## code to prepare `DATASET` dataset goes here
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as_received<-
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c(14,-104,-97,-59,-161,93,454,-341,54,137,473,45,193,22)
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table_2<-
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read.csv(
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'table_2.csv',
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header=F,
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row.names=NULL)
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table_8<-
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read.csv(
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'table_8.csv',
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header=F,
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row.names=NULL
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)
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usethis::use_data(as_received,overwrite=TRUE)
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usethis::use_data(table_2,overwrite=TRUE)
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usethis::use_data(table_8,overwrite=TRUE)

‎data/as_received.rda‎

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